Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "77"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 77 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 31 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 31 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 77, Node N06:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460014 not_connected 100.00% 0.00% 0.00% 0.00% - - 61.330561 9.642761 0.388618 -0.442270 5.060467 5.440378 15.441628 45.068155 0.2609 0.4998 0.3515 nan nan
2460013 not_connected 100.00% 0.00% 0.00% 0.00% - - 59.347563 21.582609 0.705256 -0.421261 3.273586 1.015151 8.278825 -0.834775 0.2991 0.4766 0.2893 nan nan
2460012 not_connected 100.00% 0.00% 0.00% 0.00% - - 56.879629 20.800596 0.587387 -0.559432 3.595604 1.514530 7.801606 0.469781 0.2999 0.4779 0.2853 nan nan
2460011 not_connected 100.00% 0.00% 0.00% 0.00% - - 57.584179 20.464664 0.706280 -0.634297 8.032099 2.831852 3.844834 0.104127 0.3167 0.4896 0.2887 nan nan
2460010 not_connected 100.00% 0.00% 0.00% 0.00% - - 66.469759 28.203584 0.882812 -0.403991 5.708339 3.190450 5.539575 -0.204894 0.3008 0.4699 0.2644 nan nan
2460009 not_connected 100.00% 0.00% 0.00% 0.00% - - 58.907355 25.807828 0.763320 -0.553379 5.271019 2.634376 -0.043162 -0.033223 0.3259 0.4674 0.2454 nan nan
2460008 not_connected 100.00% 0.00% 0.00% 0.00% - - 68.989114 31.374389 0.803177 -0.631616 3.978584 2.761654 1.686106 0.316197 0.3858 0.5274 0.2250 nan nan
2460007 not_connected 100.00% 0.00% 0.00% 0.00% - - 55.692079 23.022030 0.729340 -0.604763 3.989576 1.690233 0.641210 -0.871874 0.3222 0.4869 0.2638 nan nan
2459999 not_connected 0.00% 94.82% 86.30% 0.00% - - nan nan nan nan nan nan nan nan 0.1056 0.1672 0.1006 nan nan
2459998 not_connected 100.00% 0.00% 0.00% 0.00% - - 50.901353 21.864061 0.623155 -0.414150 6.408294 3.500235 5.324037 1.423131 0.2974 0.4672 0.2762 nan nan
2459997 not_connected 100.00% 0.00% 0.00% 0.00% - - 56.123016 24.392577 0.787791 -0.332267 4.943794 3.044862 20.864866 -0.802532 0.3175 0.4884 0.2787 nan nan
2459996 not_connected 100.00% 99.57% 99.62% 0.00% - - nan nan inf inf nan nan nan nan 0.3717 0.3259 0.3251 nan nan
2459995 not_connected 100.00% 0.00% 0.00% 0.00% - - 58.692481 25.166878 0.624796 -0.561563 4.013156 2.245171 4.325918 0.463186 0.3226 0.4971 0.2838 nan nan
2459994 not_connected 100.00% 0.00% 0.00% 0.00% - - 56.667369 22.305237 0.557749 -0.511996 4.080003 2.372629 1.906752 -0.067582 0.3221 0.5088 0.3054 nan nan
2459993 not_connected 100.00% 0.00% 0.00% 0.00% - - 58.984192 21.209635 0.513769 -0.239435 5.388824 4.871704 3.872342 20.769191 0.3144 0.5219 0.3279 nan nan
2459991 not_connected 100.00% 99.89% 99.95% 0.00% - - 264.385859 264.810852 inf inf 3074.885065 3091.427598 6322.626448 6175.430651 0.3170 0.2781 0.3339 nan nan
2459990 not_connected 100.00% 0.00% 0.00% 0.00% - - 47.388440 17.642746 0.316416 -0.346452 3.719627 5.502731 6.726533 10.952941 0.3585 0.5191 0.3070 nan nan
2459989 not_connected 100.00% 0.00% 0.00% 0.00% - - 42.659091 6.523829 0.271497 -0.087287 3.399761 1.697578 8.245590 19.086727 0.3971 0.5706 0.3557 nan nan
2459988 not_connected 100.00% 0.00% 0.00% 0.00% - - 57.802326 19.865860 0.296541 -0.223733 7.525587 6.078660 11.328214 11.695647 0.3572 0.5182 0.3077 nan nan
2459987 not_connected 100.00% 0.00% 0.00% 0.00% - - 51.962875 12.723302 0.444674 -0.276593 5.097496 1.879296 1.734070 2.904085 0.3605 0.5543 0.3466 nan nan
2459986 not_connected 100.00% 0.00% 0.00% 0.00% - - 60.693499 6.907526 0.554146 -0.091045 3.952388 2.316870 3.771266 4.783647 0.3826 0.6063 0.3564 nan nan
2459985 not_connected 100.00% 0.00% 0.00% 0.00% - - 61.912742 22.326964 0.502595 -0.484615 4.427797 3.436644 -0.216355 14.873141 0.3203 0.5116 0.3228 nan nan
2459984 not_connected 100.00% 0.00% 0.00% 0.00% - - 58.945225 26.679514 0.574541 -0.570484 6.002112 5.367520 3.379624 2.665035 0.3328 0.4962 0.2689 nan nan
2459983 not_connected 100.00% 0.00% 0.00% 0.00% - - 63.219148 9.431093 0.752740 -0.219672 5.447846 5.765141 5.116805 19.486808 0.3337 0.6028 0.3551 nan nan
2459982 not_connected 100.00% 0.00% 0.00% 0.00% - - 51.690036 9.262623 0.296274 -1.002069 2.573616 3.350638 0.308495 -0.420796 0.4628 0.6146 0.2645 nan nan
2459981 not_connected 100.00% 0.00% 0.00% 0.00% - - 49.559531 13.139176 0.620559 -0.468244 4.924972 6.993290 7.544838 24.596214 0.3258 0.5383 0.3425 nan nan
2459980 not_connected 100.00% 0.00% 0.00% 0.00% - - 48.202099 17.801727 0.338622 -0.864666 4.485468 6.692344 3.158193 1.197523 0.4135 0.5637 0.2578 nan nan
2459979 not_connected 100.00% 0.00% 0.00% 0.00% - - 59.679678 0.695916 0.493422 -0.609698 6.015690 -0.958360 17.305420 0.199391 0.2792 0.6016 0.4454 nan nan
2459978 not_connected 100.00% 0.00% 0.00% 0.00% - - 58.734571 0.736918 0.552355 -0.437296 8.125045 -0.638337 17.634925 0.183354 0.2864 0.5941 0.4364 nan nan
2459977 not_connected 100.00% 0.00% 0.00% 0.00% - - 48.619540 0.883187 0.374890 -0.580480 5.897669 -0.898986 11.326788 -0.277272 0.3279 0.5665 0.3696 nan nan
2459976 not_connected 100.00% 0.00% 0.00% 0.00% - - 59.724987 0.823858 0.573878 -0.507664 4.962520 -1.066140 12.025267 -0.693653 0.2882 0.6098 0.4464 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 77: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 61.330561 61.330561 9.642761 0.388618 -0.442270 5.060467 5.440378 15.441628 45.068155

Antenna 77: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 59.347563 59.347563 21.582609 0.705256 -0.421261 3.273586 1.015151 8.278825 -0.834775

Antenna 77: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 56.879629 56.879629 20.800596 0.587387 -0.559432 3.595604 1.514530 7.801606 0.469781

Antenna 77: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 57.584179 57.584179 20.464664 0.706280 -0.634297 8.032099 2.831852 3.844834 0.104127

Antenna 77: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 66.469759 66.469759 28.203584 0.882812 -0.403991 5.708339 3.190450 5.539575 -0.204894

Antenna 77: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 58.907355 58.907355 25.807828 0.763320 -0.553379 5.271019 2.634376 -0.043162 -0.033223

Antenna 77: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 68.989114 31.374389 68.989114 -0.631616 0.803177 2.761654 3.978584 0.316197 1.686106

Antenna 77: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 55.692079 55.692079 23.022030 0.729340 -0.604763 3.989576 1.690233 0.641210 -0.871874

Antenna 77: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected nn Shape nan nan nan nan nan nan nan nan nan

Antenna 77: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 50.901353 50.901353 21.864061 0.623155 -0.414150 6.408294 3.500235 5.324037 1.423131

Antenna 77: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 56.123016 56.123016 24.392577 0.787791 -0.332267 4.943794 3.044862 20.864866 -0.802532

Antenna 77: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape nan nan nan inf inf nan nan nan nan

Antenna 77: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 58.692481 58.692481 25.166878 0.624796 -0.561563 4.013156 2.245171 4.325918 0.463186

Antenna 77: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 56.667369 56.667369 22.305237 0.557749 -0.511996 4.080003 2.372629 1.906752 -0.067582

Antenna 77: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 58.984192 58.984192 21.209635 0.513769 -0.239435 5.388824 4.871704 3.872342 20.769191

Antenna 77: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Power inf 264.385859 264.810852 inf inf 3074.885065 3091.427598 6322.626448 6175.430651

Antenna 77: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 47.388440 17.642746 47.388440 -0.346452 0.316416 5.502731 3.719627 10.952941 6.726533

Antenna 77: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 42.659091 6.523829 42.659091 -0.087287 0.271497 1.697578 3.399761 19.086727 8.245590

Antenna 77: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 57.802326 19.865860 57.802326 -0.223733 0.296541 6.078660 7.525587 11.695647 11.328214

Antenna 77: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 51.962875 51.962875 12.723302 0.444674 -0.276593 5.097496 1.879296 1.734070 2.904085

Antenna 77: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 60.693499 6.907526 60.693499 -0.091045 0.554146 2.316870 3.952388 4.783647 3.771266

Antenna 77: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 61.912742 22.326964 61.912742 -0.484615 0.502595 3.436644 4.427797 14.873141 -0.216355

Antenna 77: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 58.945225 58.945225 26.679514 0.574541 -0.570484 6.002112 5.367520 3.379624 2.665035

Antenna 77: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 63.219148 63.219148 9.431093 0.752740 -0.219672 5.447846 5.765141 5.116805 19.486808

Antenna 77: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 51.690036 51.690036 9.262623 0.296274 -1.002069 2.573616 3.350638 0.308495 -0.420796

Antenna 77: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 49.559531 13.139176 49.559531 -0.468244 0.620559 6.993290 4.924972 24.596214 7.544838

Antenna 77: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 48.202099 17.801727 48.202099 -0.864666 0.338622 6.692344 4.485468 1.197523 3.158193

Antenna 77: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 59.679678 59.679678 0.695916 0.493422 -0.609698 6.015690 -0.958360 17.305420 0.199391

Antenna 77: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 58.734571 0.736918 58.734571 -0.437296 0.552355 -0.638337 8.125045 0.183354 17.634925

Antenna 77: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 48.619540 48.619540 0.883187 0.374890 -0.580480 5.897669 -0.898986 11.326788 -0.277272

Antenna 77: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
77 N06 not_connected ee Shape 59.724987 0.823858 59.724987 -0.507664 0.573878 -1.066140 4.962520 -0.693653 12.025267
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